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The global leader in open-source solutions, Red Hat, recently announced the launch of the revolutionary open-source project LLM-D, specifically addressing the urgent needs for large-scale inference in generative AI. The project, founded by industry giants such as CoreWeave, Google Cloud, IBM Research, and NVIDIA, aims to meet the most stringent production service-level goals through breakthrough technologies that enable cloud-based large language model inferencing.

Recently, Luo Yonghao's AR startup, Thin Red Line, announced its official launch of spring recruitment for 2025, attracting considerable attention. The company's currently open full-time positions are all for Product Managers, including Senior Software Product Manager, AI Software Product Manager, IM Software Product Manager, BI Data Product Manager, and Commercialization Product Manager. Locations are in Shanghai and Beijing, though specific salary ranges haven't been publicly disclosed. According to industry media outlet 36Kr, Luo Yonghao's latest...

Recently, OpenAI showcased its more proactive red team testing strategy in the field of AI safety, surpassing its competitors, especially in the critical areas of multi-step reinforcement learning and external red team testing. The two papers released by the company establish new industry standards for enhancing the quality, reliability, and safety of AI models. The first paper, 'OpenAI's AI Model and System External Red Team Testing Methodology,' highlights the effectiveness of specialized external teams in identifying security vulnerabilities that internal testing may overlook. These external teams consist of cyber...

Kuaishou Technology Co., Ltd. announced that its independently developed visual generation large model, Kling AI, has completed a new round of capability upgrades. The upgraded Kling AI API has achieved significant improvements in virtual fitting and lip-syncing, providing stronger technical support for clients in e-commerce, advertising marketing, pan-entertainment, and AI tools.

Red Hat recently released the latest version 1.3 of its enterprise-grade Linux AI platform, RHEL AI, which adds support for IBM's Granite large language model (LLM) and previews support for the Intel Gaudi 3 accelerator. This update brings more opportunities for Red Hat's service partners and system integrators to help enterprises explore and integrate AI applications more effectively. Joe Fernandez, Vice President and General Manager of Red Hat's AI business unit, stated that

The Haidian District People's Court in Beijing has officially accepted ByteDance's lawsuit against former intern Tian, accusing him of altering code to attack the company's internal model training. The company requests the court to order Tian to compensate for 8 million yuan in damages and 20,000 yuan in reasonable expenses, while also demanding a public apology.

In 2024, artificial intelligence (AI) skills have become the most sought-after capabilities for IT managers in the UK. A survey conducted by open-source software company Red Hat indicates that 81% of IT managers are struggling to hire AI professionals, an increase of 9% from the survey conducted in October 2023. The survey, conducted in August, involved 609 global IT managers from companies with over 500 employees, including at least 100 respondents from the UK. Image source: Note: Image.

Dell Technologies and Red Hat have partnered to integrate Red Hat Enterprise Linux AI (RHEL AI) into PowerEdge servers, aiming to simplify the development, testing, and deployment of AI models for enterprises, particularly in hybrid cloud environments. This collaboration focuses on the resources required for AI implementation, such as powerful servers, computing capabilities, and GPUs, while providing a flexible platform. It is expected that in the third quarter, optimized AI hardware solutions combined with Dell PowerEdge servers and RH...

OpenAI recently released the GPT-4o System Card, detailing the safety measures and risk assessments prior to the launch of the new model. GPT-4o was officially launched in May, and the assessment showed an overall risk rating of 'medium', with major risks concentrated in cybersecurity, biological threats, persuasive capability, and model autonomy. Researchers found that while GPT-4o may be more persuasive in influencing reader opinions, it did not surpass humans overall. At the time of releasing the system card, OpenAI faced criticism from internal employees and state senators questioning its decision-making.

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